2.5D Inversion Algorithm of Frequency-Domain Airborne Electromagnetics with Topography
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-11-01
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
We presented a 2.5D inversion algorithm with topography for frequency-domain airborne electromagnetic data.
The forward modeling is based on edge finite element method and uses the irregular hexahedron to adapt the topography.
The electric and magnetic fields are split into primary (background) and secondary (scattered) field to eliminate the source singularity.
For the multisources of frequency-domain airborne electromagnetic method, we use the large-scale sparse matrix parallel shared memory direct solver PARDISO to solve the linear system of equations efficiently.
The inversion algorithm is based on Gauss-Newton method, which has the efficient convergence rate.
The Jacobian matrix is calculated by “adjoint forward modelling” efficiently.
The synthetic inversion examples indicated that our proposed method is correct and effective.
Furthermore, ignoring the topography effect can lead to incorrect results and interpretations.
American Psychological Association (APA)
Xi, Jianjun& Li, Wenben. 2016. 2.5D Inversion Algorithm of Frequency-Domain Airborne Electromagnetics with Topography. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1111723
Modern Language Association (MLA)
Xi, Jianjun& Li, Wenben. 2.5D Inversion Algorithm of Frequency-Domain Airborne Electromagnetics with Topography. Mathematical Problems in Engineering No. 2016 (2016), pp.1-10.
https://search.emarefa.net/detail/BIM-1111723
American Medical Association (AMA)
Xi, Jianjun& Li, Wenben. 2.5D Inversion Algorithm of Frequency-Domain Airborne Electromagnetics with Topography. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1111723
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1111723